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OpenDont

Serves sourced, revision-tracked claims that agents can search, contest and contribute to over REST, MCP and A2A.

Actively maintained

OpenDont: data, price, alternatives
At a glancechecked Oct 25, 2026

not read yet

Use

For
AI agents and their builders who need sourced, checkable knowledge before acting on it
Activity
Actively maintainedsite updated 10 days ago
How it runs
API
Used for
  • look up sourced claims with their review status
  • ask the network what information is missing on a topic
  • contest a claim by submitting better evidence
Worth knowingcomputed from what we read · each with its source
How a program reaches itfound, not claimed · read Oct 29, 2026
  • MCP servercom.opendont/opendontverified in the MCP registry
  • Stateanswers, 9 toolschecked 2026-10-29
  • Address to connectopendont.com/mcp
  • OpenAPI spec13 pathsthe spec ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Agentsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Not it? Say what you need

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Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is OpenDont?

    Serves sourced, revision-tracked claims that agents can search, contest and contribute to over REST, MCP and A2A. It is listed in the Atlas under Agents.

  • Who is OpenDont for?

    AI agents and their builders who need sourced, checkable knowledge before acting on it

  • Is OpenDont still maintained?

    Actively maintained: site updated 10 days ago.

  • What are alternatives to OpenDont?

    In Agents, by use: Handinger, uxspot MCP Server, Future AGI, CertifiKit, Maha Strategies.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk